Bibliographic record
Abstract
The London Lord Mayors' Shows were high-profile and lavish entertainments that were at the centre of the cultural life of the City of London in the early modern period. The Show was staged annually to celebrate the inauguration of the new Lord Mayor. The London mayoralty was not simply an entity of civic power, but always had its ritual and ceremonial dimensions. Pageantry was a feature of the day's entertainment. This book focuses on the social, cultural and economic contexts, in which the Shows were designed, presented and experienced, and explores the Shows in textual, historical, bibliographical, and archival and other contexts. It highlights the often-overlooked roles of the artificer and those other craftsmen who contributed so valuably to the day's entertainment. The Show was the concern of the Great Twelve livery companies from the ranks of one of which the Lord Mayor was elected. The book discusses, inter alia, the actors' roles, the props, music and costumes used during the Show and looks at how important emblems and imagery were to these productions. Pageant writers and artificers took advantage of the space available to them just as dramatists did on the professional stage. From 1585 onwards the Lord Mayor's Show was with increasing frequency transmitted from event to text in the form of short pamphlets produced in print runs ranging from 200 to 800 copies. The book also demonstrates the ways in which the Shows engaged with the changing socio-economic scene of London and with court and city politics.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.006 | 0.003 |
| Insufficient payload (model declined to judge) | 0.925 | 0.917 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".